Hannover Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Hannover Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.89375	1.2		6.2625	2.9
	1.38125	-0.7		5.6	1.5
	1.45	-2.1		4.975	0.5
	1.0125	-3.2		4.725	0.5
	0.5375	-3.4		3.96875	-0.9
	0.36875000000000013	-5.5		4.125	-0.8
	0.28750000000000003	-5		4.1875	-0.9
	1.13125	-3.7		4.106250000000001	0.1
	0.8875000000000004	-2.2		4.368749999999999	3.2
	0.11875000000000005	-9.7		4.1625000000000005	-0.5
	-0.14999999999999994	-13.5		3.7624999999999997	-5.4
	0.5999999999999996	-7.9		3.8437500000000004	1.4
	0.6375	1.8		4.23125	3.3
	0.31874999999999987	1.4		3.9875000000000007	4.7
Jan.	-0.043749999999999956	1.8		4.09375	6.4
	-0.14374999999999988	4.8		3.2812499999999996	8.2
	-0.7875	1.6		2.8124999999999996	5.7
	-1.3749999999999996	-0.4		2.79375	4.5
	-1.7062500000000003	-0.7		2.4125	4.8
	-1.88125	-1.5		1.8875000000000002	3.9
	-2.6499999999999995	-2		1.7125	3.3
	-2.05	-2.1		2.0625	2.1
	-1.1250000000000002	-2.6		2.13125	0.4
	-1.0312500000000004	-3		2.88125	0.3
	-1.2812499999999998	-3.1		2.71875	0.7
	-1.4125	-0.7		2.7124999999999995	0.3
	-0.3687500000000002	-1.5		4.4375	0.5
	0.3500000000000002	-2.9		4.58125	0
	0.10624999999999993	-1.6		4.2	0
	-0.48750000000000004	-3.9		3.7874999999999996	0.6
	-0.7125000000000001	-2.4		3.30625	0.4
	-0.6687499999999997	-5.4		3.84375	-2.2
	-0.49375000000000013	-6		3.8	-2.5
	0.3250000000000001	-7.6		4.387499999999999	-3.1
	-0.031249999999999833	-4.1		4.487500000000001	-0.2
	-0.06250000000000003	-3		3.88125	-0.2
	-0.5374999999999999	-2.2		3.78125	1.3
	-1.4687499999999998	-0.9		3.4875000000000003	1.1
	-1.7125000000000004	0.4		2.9125000000000005	0.8
	-1.5437499999999997	0.2		3.85625	2.8
	-1.39375	-0.5		3.7312499999999997	3.9
	-1.1375000000000002	2.3		3.34375	6.4
	-1.5375	3.4		2.9375	7.2
	-1.9	-1.1		3.83125	6.4
	-1.2874999999999996	-4.6		4.90625	0.2
Feb.	-0.25	-4.6		5.9	1
	1.3125000000000002	-1.3		7.01875	3.3
	0.38124999999999987	0.5		6.33125	3.3
	0.8500000000000001	-4		6.2875000000000005	0.9
	0.84375	-2.4		5.5625	1.1
	0.7749999999999999	-3.1		6.525	3.1
	2.1	3.3		7.225	8.3
	1.75625	8.1		7.55625	11.1
	1.4500000000000002	7.3		7.05	9.6
	1.3625000000000003	4.2		7.575000000000002	9.6
	1.4	5.7		7.53125	13.2
	0.84375	6.6		6.787500000000001	16.4
	0.018750000000000017	8.5		6.731249999999999	17.3
	0.15624999999999994	9.1		6.40625	15
	0.30625	4		6.9125000000000005	11.8
	0.14374999999999996	4.5		6.856249999999999	13.7
	0.71875	5.5		7.80625	14.9
	0.7375	4		8.04375	11
	0.5375	5.4		8.2125	15.4
	0.8062499999999999	6.2		7.6937500000000005	16.3
	0.8687499999999999	6.9		7.46875	16
	0.6	7.4		7.96875	16.1
	0.9125000000000001	6.6		8.44375	16.2
	1.08125	7.2		9.09375	17.3
	1.1875	7.8		8.09375	13.5
	1.6937500000000003	4.4		8.225	11.9
	1.8499999999999999	6		8.987499999999999	13.7
	1.6999999999999997	1.9		8.03125	5.2
Mar.	1.9125	3.6		8.125	8.3
	1.525	3.4		8.924999999999999	8.5
	2.2437500000000004	2		8.981250000000003	5.6
	1.8687500000000004	1.7		9.6625	12.3
	1.9437499999999999	3.6		9.831249999999999	13.6
	2.76875	5		10.899999999999999	11.8
	2.79375	3.8		10.575000000000001	11.5
	2.43125	1.9		10.5	13.1
	3.1312499999999996	3.5		10.35625	13.5
	2.1999999999999997	6		10.925	14.4
	2.225	2.1		10.950000000000001	10.9
	2.26875	0		9.687500000000002	6.3
	1.625	-1		10.799999999999999	8.6
	3.0437499999999993	1.5		12.031250000000002	5.4
	4.04375	0.4		12.037499999999998	8.8
	3.825	3		12.1375	7.9
	3.96875	1.3		11.69375	8.3
	2.8187499999999996	0.9		10.41875	10.9
	2.525	2		11.425	12.8
	3.875	1.5		11.8125	11.7
	3.725	8.1		11.606250000000003	13.8
	3.34375	6.7		10.549999999999997	14.3
	3.424999999999999	3.9		12.518749999999999	11.9
	4.1187499999999995	1.8		14.31875	13.9
	4.35625	1.8		12.868749999999999	14
	4.09375	4.3		13.862499999999999	13.1
	4.4312499999999995	4.9		13.325	11.4
	4.5	2.8		13.25625	14.5
	4.3625	6.5		13.19375	13.3
	5.668749999999999	4.9		13.9	11.6
	4.3125	8.1		13.206249999999999	14.5
Apr.	4.550000000000001	5.3		14.012499999999998	16.8
	4.275	8.7		13.85	17.7
	3.9624999999999995	11		13.993749999999999	19
	4.2124999999999995	9.8		13.868749999999999	18.5
	4.2250000000000005	6.6		14.612499999999999	12.5
	4.23125	3.8		15.512500000000003	5.7
	5.13125	0.3		15.40625	12.9
	5.2437499999999995	0.9		15.09375	15.5
	5.699999999999999	2.2		14.962500000000002	15.6
	5.40625	2.7		15.475000000000003	15.1
	5.5625	2.7		15.218749999999998	15.2
	4.90625	1.5		14.168750000000003	14.4
	4.675000000000001	2.7		13.2	14.6
	4.937500000000001	4.3		15.91875	14.5
	6.8	1.8		17.00625	14.6
	6.418749999999999	3.2		16.487499999999997	16.3
	6.6625	6		16.16875	20.7
	6.375	9.5		15.175000000000002	24.3
	5.8	11.8		15.56875	24
	5.80625	11.2		14.006250000000001	19.2
	5.19375	10.5		15.356250000000001	13.4
	5.856249999999999	6.2		15.500000000000004	8.8
	6.774999999999999	6.4		16.099999999999998	8.7
	6.793749999999999	4.5		16.65	13.8
	8.075	4.9		19.06875	15
	8.749999999999998	6.6		18.44375	19.3
	9.018749999999999	4.5		18.375000000000004	11.1
	8.59375	3.8		17.156250000000004	9.8
	7.41875	6.2		16.31875	13.4
	7.481249999999998	4.4		16.71875	10.1
May	6.987500000000001	2.5		16.65	14.1
	7.2	4.2		15.943750000000001	12.5
	8.062500000000002	5.3		16.506249999999998	15.4
	7.5125	7.3		17.243750000000002	17.3
	8.862499999999999	7		18.29375	16.9
	9.6375	10.3		18.906250000000004	18
	10.05	8.9		19.89375	19
	9.899999999999999	10.8		19.837500000000002	23.3
	10.006250000000001	14.1		19.175000000000004	26.3
	9.44375	13.3		18.70625	23
	9.206249999999999	10.8		17.731250000000003	24.8
	9.19375	13.5		18.462500000000002	28
	9.41875	9.3		18.05625	19.7
	9.7	5.5		19.012499999999996	19.9
	9.30625	9.2		19.125	26.5
	10.125	13.7		19.49375	22.4
	10.05625	11.1		20.1125	21.8
	10.206249999999999	9.8		19.68125	21
	10.037499999999998	12.8		20.41875	23.5
	10.575000000000001	12		21.437499999999996	18.7
	10.956249999999999	13		21.593749999999996	18.9
	11.781250000000002	11.3		22.449999999999996	17.5
	11.787500000000001	10.1		21.593749999999996	21.7
	11.26875	11.4		20.75	18.1
	11.543749999999998	10.8		21.400000000000006	22.8
	11.856250000000001	9.9		22.131249999999998	16.3
	11.94375	8.2		21.787499999999994	17.7
	11.91875	7.9		21.35	17
	10.875000000000002	9.1		20.3875	18.9
	10.993750000000002	10.8		20.5625	17.9
	10.76875	10.2		21.356249999999996	17.2
Jun.	11.756249999999996	9		21.10625	16.1
	11.412499999999998	7.9		20.70625	21.6
	11.718749999999998	11.1		22.3125	22.9
	13.218750000000002	15.4		23.4375	27.8
	13.53125	18.2		22.30625	32
	12.681250000000002	19.5		21.606250000000003	31
	11.687500000000002	17		21.256249999999998	27.4
	12.362499999999999	17.1		22.281249999999996	25.6
	12.518749999999999	13.8		21.218749999999996	27.4
	12.537499999999998	17.1		21.687499999999996	31.3
	13.2125	19.7		22.325000000000003	31.4
	12.84375	17.3		22.7375	32.8
	12.4125	20		22.643750000000004	36.7
	13.59375	20.4		24.124999999999996	30.7
	13.874999999999998	17.9		23.975	26.6
	13.431249999999999	14.9		23.2375	25.1
	13.40625	14		22.20625	23.8
	13.662500000000001	12.4		23.1	24.4
	12.731250000000001	11.3		22.7125	19.7
	12.900000000000002	10.2		23.337500000000006	20.1
	13.912499999999998	14.3		23.318749999999998	22
	13.6125	13.1		22.61875	21.6
	12.962499999999999	15.4		22.8375	25.2
	12.818750000000003	10.9		22.65625	22.8
	13.36875	12.1		22.731249999999996	22.1
	13.537499999999998	12.7		22.48125	26.5
	13.9875	15		24.093749999999996	27.8
	13.818750000000001	15.7		22.85	28.7
	13.331249999999997	13.1		21.881249999999998	28.5
	13.325000000000001	15.4		21.96875	26.1
Jul.	12.85625	13		21.868750000000002	27.3
	13.35	14.1		22.55625	26.5
	13.40625	15.9		23.806250000000002	27.8
	13.881250000000001	13.6		24.24375	23.9
	13.912500000000001	10.1		25.3625	19.6
	15.431249999999999	10.9		25.712500000000002	19
	15.575000000000001	10.4		24.39375	23.3
	15.000000000000002	10.8		23.556250000000002	19.8
	14.131250000000001	12.2		23.831250000000004	20.6
	14.143749999999999	9.8		24.331249999999997	23.7
	15.043750000000001	13.6		24.175000000000004	26.5
	14.76875	16.1		24.718750000000004	22.6
	15.4625	14.7		24.23125	20.8
	14.937500000000002	11.3		24.325000000000006	25.8
	14.8875	17.9		22.574999999999996	32.2
	14.318749999999998	19.1		23.0125	37.8
	14.33125	17.1		23.11875	28.4
	14.41875	14.2		24.25625	23.9
	14.975	12.3		25.0875	25.6
	15.881249999999998	15.1		24.956249999999994	30.8
	15.35625	18.7		24.506249999999998	33.3
	14.487499999999999	19.9		22.868750000000002	29.9
	13.874999999999998	16.1		24.2625	25.3
	14.518749999999997	12		24.693749999999998	20.6
	14.625000000000002	11.1		23.687500000000004	25.6
	14.156249999999998	14.6		24.06875	32.9
	14.1375		14.8	23.525		26.6
	13.88125		10.2	23.043749999999992		23.4
	14.30625		9.7	23.4875		26.3
	14.200000000000001		13.1	24.500000000000004		29.9
	15.18125		16.1	25.131249999999994		33.1
Aug.	15.6375		19.6	24.799999999999997		38
	14.775		15.3	23.431250000000002		24.7
	14.893749999999999		12.8	23.08125		20.9
	14.200000000000001		14.2	22.6		22.7
	14.243750000000002		14.2	22.7		23.8
	13.987500000000002		14.9	23.53125		24.2
	14.281249999999998		14	24.506249999999998		23.6
	14.450000000000001		14.2	23.56875		23.3
	14.29375		14.2	23.237499999999997		23.6
	14.093750000000002		14.2	23.599999999999998		24.2
	14.087500000000002		14.2	23.462500000000002		23.1
	14.7125		14.7	23.900000000000002		23.6
	14.106250000000001		13.9	21.712499999999995		22.3
	12.949999999999998		13.4	22.287499999999998		22.9
	13.46875		13.3	23.099999999999998		22.4
	13.637500000000001		13.2	22.7		21.6
	12.88125		12.5	21.824999999999996		21.9
	11.85625		12.1	20.031249999999996		20.8
	11.875		11.9	20.725000000000005		21.1
	12.325000000000001		12.9	22.29375		22
	13.25		13.2	22.743750000000006		22.5
	13.218750000000002		13.1	22.362499999999997		21.8
	12.931250000000002		12.4	22.474999999999998		22.1
	12.918750000000001		12.8	21.450000000000003		21.8
	12.05		12.7	20.924999999999997		21.5
	13.075		13.1	21.7125		22
	13.318750000000001			21.48125
	12.7			21.6625
	12.475			21.33125
	11.94375			19.181249999999995
	11.25625			19.406250000000004
Sep.	11.587499999999999			19.89375
	10.80625			19.09375
	11.118750000000002			19.818750000000005
	11.062500000000002			18.975
	10.63125			19.043750000000003
	10.975			19.393749999999997
	9.85625			19.075
	9.575			18.54375
	9.831249999999999			18.00625
	9.975			18.05
	10.256250000000001			17.86875
	10.349999999999998			17.78125
	10.6375			17.6625
	10.1375			17.125
	9.46875			17.337500000000002
	8.8375			17.3125
	8.818749999999998			17.10625
	9.11875			16.799999999999997
	9.1625			17.268749999999997
	9.625000000000002			16.425
	9.40625			15.943749999999998
	9.0625			15.649999999999999
	8.849999999999998			15.256249999999998
	8.525			15.23125
	7.787500000000001			15.175000000000002
	7.8			14.98125
	7.968749999999999			15.049999999999999
	7.3875			14.106249999999998
	7.6125			14.375000000000002
	7.512499999999999			14.393749999999997
Oct.	7.79375			13.818750000000001
	7.45625			13.287500000000001
	7.70625			14.468750000000004
	7.0874999999999995			14.350000000000001
	7.55			14.4125
	8.1625			13.500000000000004
	7.693749999999999			14.4875
	8.04375			13.599999999999998
	7.693749999999999			13.787499999999998
	7.78125			13.668750000000001
	7.499999999999999			13.1
	8.025			13.5625
	6.887499999999999			12.7125
	6.581249999999999			12.575
	6.5062500000000005			12.706249999999999
	7.20625			12.599999999999998
	6.94375			12.74375
	7.175			12.981250000000001
	7.18125			12.662500000000001
	6.793750000000001			12.437499999999998
	6.174999999999999			11.625
	6.19375			11.26875
	5.61875			10.875000000000002
	5.625			10.5625
	5.91875			10.300000000000002
	5.4125			10.34375
	5.062500000000001			9.862499999999999
	4.518749999999999			9.275
	5.012499999999999			9.862499999999999
	4.137499999999999			9.49375
	4.33125			8.95625
Nov.	4.40625			9.206249999999999
	3.7249999999999996			8.193750000000001
	3.3			7.674999999999999
	3.63125			7.36875
	3.5625000000000004			7.80625
	2.53125			6.699999999999999
	1.4625000000000001			6.11875
	1.5937499999999998			5.662499999999999
	2.94375			7.68125
	2.29375			6.749999999999999
	1.7812500000000002			6.19375
	1.90625			6.074999999999999
	1.79375			5.643749999999999
	1.58125			5.668749999999999
	1.0375			4.9875
	0.21874999999999997			4.4312499999999995
	-0.056249999999999994			4.0625
	0.3875			4.3
	0.2374999999999999			4.0562499999999995
	0.13125000000000006			4.0625
	0.84375			4.15625
	1.15625			4.6625
	1.7937500000000002			4.9750000000000005
	1.6624999999999996			5.525
	1.6875			5.1125
	0.9625			4.9437500000000005
	1.46875			4.7875
	0.575			4.775
	0.5875			4.56875
	0.4125000000000001			4.18125
Dec.	0.7750000000000001			4.7124999999999995
	1.43125			5.406250000000001
	2.6812499999999995			6.325000000000001
	2.48125			6.050000000000001
	2.4062500000000004			6.4750000000000005
	2.3062500000000004			5.9875
	2.3125000000000004			5.5375
	2.43125			5.656249999999999
	2.85			6.6375
	3.2125			7.13125
	1.91875			6.387499999999998
	2.1125			5.875
	1.8687500000000001			5.5375000000000005
	1.4625			5.124999999999999
	1.1624999999999996			4.6625
	1.2812500000000002			5.731249999999998
	3.433333333333334			6.960000000000002

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

38°C

Highest Temp

30 Jul. 26

-13°C

Lowest Temp

11 Jan. 26

Seasonal Breakdown

Hottest MonthAugust27.54°C

Coldest MonthJanuary-2.35°C

Wettest MonthMay3.56mm

Windiest MonthJanuary21.21km/h

Hannover Climate Change InsightsSee how climate patterns are evolving over time. Temperature shifts, rainfall trends, and extreme events—all in one place.

Weather City Ranking GloballyExplore Real time of the world’s hottest & Coldest Cities based on current temperature data.

Frequently Asked Questions

1. What is the hottest month in Hannover historically?

August is historically Hannover's hottest month, with average maximum temperatures around 24°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2022-07-20.

2. What is the coldest month in Hannover historically?

January is Hannover's coldest month, with average minimum temperatures around 0°C. The all-time record low of -16°C was recorded on 2021-02-10.

3. What is the average annual rainfall in Hannover over the past 17 years?

Hannover's average annual rainfall is approximately 704.3mm, based on records spanning 17 years.

4. How many rainy days does Hannover experience on average per year?

Hannover historically records approximately 215.2 rainy days per year. June has the highest number of rain days at an average of 19.6 days.

5. What is the all-time highest temperature ever recorded in Hannover?

The all-time highest temperature recorded in Hannover is 39°C on 2022-07-20.

6. What is the all-time lowest temperature ever recorded in Hannover?

The all-time lowest temperature recorded in Hannover is -16°C on 2021-02-10.

7. What is the windiest time of year in Hannover historically?

Hannover experiences its strongest winds during January. The historic gust record of 52.2 kph was recorded on 2018-01-18.

8. What is the highest and lowest humidity in Hannover during a year?

Usually, Hannover's humidity peaks in January at around 85.8% and drops to its lowest in August at approximately 68.6%.

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Hannover Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Hannover Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Hannover Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Hannover Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Hannover Historic Weather Records
Analyse hottest, coldest, windiest & wettest days